{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:31:00Z","timestamp":1742923860941,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319687643"},{"type":"electronic","value":"9783319687650"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68765-0_3","type":"book-chapter","created":{"date-parts":[[2017,10,3]],"date-time":"2017-10-03T03:48:52Z","timestamp":1507002532000},"page":"27-39","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Biclustering Multivariate Time Series"],"prefix":"10.1007","author":[{"given":"Ricardo","family":"Cachucho","sequence":"first","affiliation":[]},{"given":"Siegfried","family":"Nijssen","sequence":"additional","affiliation":[]},{"given":"Arno","family":"Knobbe","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,4]]},"reference":[{"key":"3_CR1","unstructured":"Sugiyama, M., Kanamori, T., Suzuki, T., Plessis, M., Liu, S., Takeuchi, I.: Density-difference estimation. In: Proceedings of NIPS, pp. 683\u2013691 (2012)"},{"key":"3_CR2","unstructured":"Cheng, Y., Church, G.: Biclustering of expression data. In: Proceedings of Eighth International Conference on Intelligent Systems for Molecular Biology, pp. 93\u2013103 (2000)"},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1109\/TCBB.2004.2","volume":"1","author":"S Madeira","year":"2004","unstructured":"Madeira, S., Oliveira, A.: Biclustering algorithms for biological data analysis: a survey. J. IEEE\/ACM Trans. Comput. Biol. Bioinform. 1, 24\u201345 (2004)","journal-title":"J. IEEE\/ACM Trans. Comput. Biol. Bioinform."},{"key":"3_CR4","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1093\/bioinformatics\/btl060","volume":"22","author":"A Preli\u0107","year":"2006","unstructured":"Preli\u0107, A., Bleuler, S., Zimmermann, P., Wille, A., B\u00fchlmann, P., Gruissem, W., Hennig, L., Thiele, L., Zitzler, E.: A systematic comparison and evaluation of biclustering methods for gene expression data. J. Bioinform. 22, 1122\u20131129 (2006)","journal-title":"J. Bioinform."},{"key":"3_CR5","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1101\/gr.648603","volume":"13","author":"Y Kluger","year":"2003","unstructured":"Kluger, Y., Basri, R., Chang, J.T., Gerstein, M.: Spectral biclustering of microarray cancer data: co-clustering genes and conditions. J. Genome Res. 13, 703\u2013716 (2003)","journal-title":"J. Genome Res."},{"key":"3_CR6","doi-asserted-by":"publisher","first-page":"1282","DOI":"10.1093\/bioinformatics\/btl099","volume":"22","author":"S Barkow","year":"2006","unstructured":"Barkow, S., Bleuler, S., Preli\u0107, A., Zimmermann, P., Zitzler, E.: BicAT: a biclustering analysis toolbox. J. Bioinform. 22, 1282\u20131283 (2006)","journal-title":"J. Bioinform."},{"key":"3_CR7","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1016\/j.csda.2004.02.003","volume":"48","author":"H Turner","year":"2003","unstructured":"Turner, H., Bailey, T., Krzanowski, W.: Improved biclustering of microarray data demonstrated through systematic performance tests. J. Comput. Stat. Data Anal. 48, 235\u2013254 (2003)","journal-title":"J. Comput. Stat. Data Anal."},{"key":"3_CR8","unstructured":"Murali, T., Kasif, S.: Extracting conserved gene expression motifs from gene expression data. In: Proceedings of Pacific Symposium on Biocomputing, pp. 77\u201388 (2003)"},{"key":"3_CR9","unstructured":"Kaiser, S., Leisch, F.: A toolbox for bicluster analysis in R. In: Proceedings of UseR, p. 101 (2008)"},{"key":"3_CR10","unstructured":"Kaiser, S., Leisch, F.: A generalized motif bicluster algorithm. In: Proceedings of UseR, p. 101 (2009)"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Vespier, U., Nijssen, S., Knobbe, A.: Mining characteristic multi-scale motifs in sensor-based time series. In: Proceedings of CIKM, pp. 2393\u20132398 (2013)","DOI":"10.1145\/2505515.2505620"},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Cachucho, R., Liu, K., Nijssen, S., Knobbe, A.: Bipeline: a web-based visualization tool for biclustering of multivariate time series. In: Proceedings of ECML PKDD, pp. 12\u201316 (2016)","DOI":"10.1007\/978-3-319-46131-1_3"},{"key":"3_CR13","unstructured":"http:\/\/fr.liacs.nl:7000"},{"key":"3_CR14","unstructured":"https:\/\/github.com\/kainliu\/ShinyDashboard"},{"key":"3_CR15","unstructured":"www.openml.org\/data\/download\/1854941\/accelerometry.csv"},{"key":"3_CR16","unstructured":"www.openml.org\/data\/download\/1854944\/snowboard.csv"},{"key":"3_CR17","unstructured":"www.openml.org\/data\/download\/1854943\/running.csv"},{"key":"3_CR18","unstructured":"www.openml.org\/data\/download\/1854942\/infrawatch.csv"}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Data Analysis XVI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68765-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T20:33:21Z","timestamp":1710362001000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68765-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319687643","9783319687650"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68765-0_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"4 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Intelligent Data Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"London","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 October 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ida2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.dcs.bbk.ac.uk\/ida2017\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}